Ilija Bogunovic

CoRR, 2024

Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift.

[BibT_eX]

[DOI]

CoRR, 2024

Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go.

[BibT_eX]

[DOI]

Xiaohang Tang

Afonso Marques

Parameswaran Kamalaruban

CoRR, 2024

Group Robust Preference Optimization in Reward-free RLHF.

[BibT_eX]

[DOI]

CoRR, 2024

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks.

[BibT_eX]

[DOI]

Ziquan Liu

Zhuo Zhi

Carsten Gerner-Beuerle

Miguel Rodrigues

CoRR, 2024

Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning.

[BibT_eX]

[DOI]

Barna Pásztor

Trans. Mach. Learn. Res., 2023

REDUCR: Robust Data Downsampling Using Class Priority Reweighting.

[BibT_eX]

[DOI]

CoRR, 2023

Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Best-arm Identification in Linear Bandits.

[BibT_eX]

[DOI]

Wei Wang

Sattar Vakili

CoRR, 2023

Near-optimal Policy Identification in Active Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Volodymyr Tkachuk

Seyed Alireza Bakhtiari

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Movement Penalized Bayesian Optimization with Application to Wind Energy Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Neural Network Bandits.

[BibT_eX]

[DOI]

Parnian Kassraie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Cost-Efficient Online Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Risk-averse Heteroscedastic Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Misspecified Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Sebastian Curi

Proceedings of the 38th International Conference on Machine Learning, 2021

Stochastic Linear Bandits Robust to Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning to Play Sequential Games versus Unknown Opponents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Contextual Games: Multi-Agent Learning with Side Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mixed Strategies for Robust Optimization of Unknown Objectives.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Distributionally Robust Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Corruption-Tolerant Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Robust Adaptive Decision Making: Bayesian Optimization and Beyond.

[BibT_eX]

[DOI]

PhD thesis, 2019

No-Regret Learning in Unknown Games with Correlated Payoffs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Overlapping Multi-Bandit Best Arm Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Adversarially Robust Optimization with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Robust Maximization of Non-Submodular Objectives.

[BibT_eX]

[DOI]

Junyao Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust Submodular Maximization: A Non-Uniform Partitioning Approach.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]

Proceedings of the 30th Conference on Learning Theory, 2017

A distributed algorithm for partitioned robust submodular maximization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Learning-Based Compressive Subsampling.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

An Efficient Streaming Algorithm for the Submodular Cover Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Time-Varying Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]